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Xiangao Qi
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2020 – today
- 2024
- [j3]Xiang'ao Qi
, Xiangting Li
A 0.67-to-5.4 TSOPs/W Spiking Neural Network Accelerator With 128/256 Reconfigurable Neurons and Asynchronous Fully Connected Synapses. IEEE J. Solid State Circuits 59(10): 3366-3377 (2024) - [c6]Zhouchen Ma, Yuxiang Lin, Cheng Chen, Xiangao Qi, Yongfu Li, Kea-Tiong Tang, Fa Wang, Tianhong Zhang, Guoxing Wang, Jian Zhao:
33.10 A 2.7ps-ToF-Resolution and 12.5mW Frequency-domain NIRS Readout IC with Dynamic Light Sensing Frontend and Cross-Coupling-Free Inter-Stabilized Data Converter. ISSCC 2024: 560-562 - 2023
- [j2]Xiang'ao Qi
A 5.3 pJ/Spike CMOS Neural Array Employing Time-Modulated Axon-Sharing and Background Mismatch Calibration Techniques. IEEE Trans. Biomed. Circuits Syst. 17(2): 286-298 (2023) - [c5]Xiangao Qi, Yuqing Lou, Yongfu Li, Guoxing Wang, Kea-Tiong Tang, Jian Zhao:
A 5.37-TSOPS/W Reconfigurable Neuron Array with Dual-mode Neurons and Asynchronous Synapses for Energy-Efficient Inference and Biological Neural Network Simulation. A-SSCC 2023: 1-3 - 2022
- [c4]Xiangao Qi, Jian Zhao, Guoxing Wang, Kea-Tiong Tang, Yongfu Li:
A CMOS Axon-sharing Neuron Array with Background Calibration. ISCAS 2022: 3443-3447 - 2021
- [c3]Hongyi Liu, Xiangao Qi, Yuqing Lou, Liang Qi, Zuo-Wei Yeh, Kea-Tiong Tang, Jian Zhao:
Low-Hardware-Cost SNN employing FeFET-based Neurons with Tunable Leaky Effect. BioCAS 2021: 1-4 - 2020
- [j1]Cheng Chen, Yizhen Wen, Shaoyang Cui, Xiangao Qi, Zhenhong Liu, Linfeng Zhou, Mingyi Chen, Jian Zhao
A Multichannel fNIRS System for Prefrontal Mental Task Classification with Dual-level Excitation and Deep Forest Algorithm. J. Sensors 2020: 1567567:1-1567567:10 (2020)
2010 – 2019
- 2019
- [c2]Shaoyang Cui, Cheng Chen, Xiangao Qi, Yizhen Wen, Jian Zhao, Guoxing Wang:
Live Demonstration: Prefrontal Mental Task Classification through a Wearable Near-infrared Spectroscopy System. BioCAS 2019: 1 - [c1]Yizhen Wen, Xiangao Qi, Shaoyang Cui, Cheng Chen, Mingye Chen, Jian Zhao, Guoxing Wang:
A Multi-channel NIRS System for Prefrontal Mental Task Classification Employing Deep Forest Algorithm. BioCAS 2019: 1-4
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